**The Limits of Mathematics**

by Gregory J. Chaitin

**Publisher**: Springer 2003**ISBN/ASIN**: 1852336684**ISBN-13**: 9781852336684**Number of pages**: 270

**Description**:

This book is the final version of a course on algorithmic information theory and the epistemology of mathematics and physics. It discusses Einstein and Goedel's views on the nature of mathematics in the light of information theory, and sustains the thesis that mathematics is quasi-empirical.

Download or read it online for free here:

**Download link**

(600KB, PDF)

## Similar books

**Data Compression Explained**

by

**Matt Mahoney**-

**mattmahoney.net**

This book is for the reader who wants to understand how data compression works, or who wants to write data compression software. Prior programming ability and some math skills will be needed. This book is intended to be self contained.

(

**5181**views)

**Network Coding Theory**

by

**Raymond Yeung, S-Y Li, N Cai**-

**Now Publishers Inc**

A tutorial on the basics of the theory of network coding. It presents network coding for the transmission from a single source node, and deals with the problem under the more general circumstances when there are multiple source nodes.

(

**11488**views)

**Generalized Information Measures and Their Applications**

by

**Inder Jeet Taneja**-

**Universidade Federal de Santa Catarina**

Contents: Shannon's Entropy; Information and Divergence Measures; Entropy-Type Measures; Generalized Information and Divergence Measures; M-Dimensional Divergence Measures and Their Generalizations; Unified (r,s)-Multivariate Entropies; etc.

(

**5638**views)

**Information Theory, Inference, and Learning Algorithms**

by

**David J. C. MacKay**-

**Cambridge University Press**

A textbook on information theory, Bayesian inference and learning algorithms, useful for undergraduates and postgraduates students, and as a reference for researchers. Essential reading for students of electrical engineering and computer science.

(

**17117**views)